5 citations · 5 across the 2 of their papers we have counts for
2 papers
cs.LG2024
Explaining Drift using Shapley Values
Narayanan U. Edakunni, Utkarsh Tekriwal, Anukriti Jain
Machine learning models often deteriorate in their performance when they are used to predict the outcomes over data on which they were not trained. These scenarios can often arise…
cs.LG2012★ 5 cited
Boosting as a Product of Experts
Narayanan U. Edakunni, Gary Brown, Tim Kovacs
In this paper, we derive a novel probabilistic model of boosting as a Product of Experts. We re-derive the boosting algorithm as a greedy incremental model selection procedure whic…